SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft
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May 30, 2020 - Python
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pysyft
Here are 6 public repositories matching this topic...
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.
deep-learning
pytorch
medical-imaging
image-classification
segmentation
image-segmentation
mri-images
homomorphic-encryption
differential-privacy
medical-image-analysis
federated-learning
mri-brain
mri-segmentation
pysyft
federated-learning-framework
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Dec 7, 2023 - Python
A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federated learning functionality instead of using traditional PyTorch features.
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Apr 19, 2024 - Python
Securing Collaborative Medical AI by Using Differential Privacy
privacy
deep-learning
python3
pytorch
resnet
differential-privacy
domain-adaptation
chest-xray
federated-learning
chestxray14
mimic-cxr
pysyft
chexpert
opacus
vindr-cxr
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Jan 17, 2024 - Python
The implementation of the "Robust Federated Learning by Mixture of Experts" study.
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May 9, 2021 - Python
This repository will help you to understand how Federated learning can be implemented on Pima Indians Diabetic Dataset. It involves the use of OpenMined tool called Pysyft and Pytorch for implementation.
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Jul 10, 2020 - Python
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